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Showing posts with the label hadoop certification courses

Best Resources To Sharpen Your Hadoop Skills

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The past couple of years have seen the advent of big data as a great field of opportunities which has become popular for providing various solutions as well as for the management and utilization of data for the benefit of businesses. In spite of all the different beneficial consequences, implementing data management and big data in your organization is quite difficult. This is mainly because most of the firms are also used to paying a hefty amount of training fee in order to get all of their employees trained and develop the skill set of a Data Analyst. This is why there are many companies today, which have begun to look out for candidates who are already trained before they enter the industry. And for the similar reason, a similar trend is becoming quite popular among candidates. This is of that of the professional training institutes. Both in India and abroad there are quite a number of institutes which have become the go-to institutes when it comes to industry endorsed ...

Basics of Hadoop

It is not a news anymore that the field of Big Data is gradually turning into the newest, rich kid on the block. With so many business experts and IT gurus not only welcoming but also praising this new amazing field of technology and development. The possibility that you can now store the entire data of a town and actually derive insights from it, is not only novel but so surprising that it is almost unbelievable sometimes. There are a lot of statistics and studies which state that the global revenues for the big data industry are going to be on a steady rise and would reach $150.8 billion by the end of 2017. When this field of big data first emerged and when people heard of this concept for the first time, it was difficult to really comprehend as to how the companies would be able to store so much data and not just store but utilize it as well. This data that we talk about, is actually the information that comes from various social media applications that people use. From various ...

Technical Skills Every Data Scientist Must Have

Technical Skills Every Data Scientist Must Have The recently emerged field of Data Science , has rapidly becoming the most sought after, career option in the short period of time, since its inception. There are so many people, both from technical as well as non-technical background that is drawn to this field and rightfully so.  The main reason why this field has amazing future prospects is mainly because our entire world, today has begun to run on data and it various other nuances. So for all those who think they have the right kind of mindset, the suitable likes and dislikes and traits for becoming a data scientist , it is also important to have certain technical skills. The shape that the field of Data Science has taken today, the professionals working in here, are very much expected to be well versed in the use of popular data analytics tools. These tools are what enables the data scientist, to carry on their work with finesse. They are namely, R Programming , SAS,...

Why Should a Mainframe Professional Move to Big Data and Hadoop?

A great part of the world's biggest and most basic businesses – human services, fund, protection, retail and so on – still produce an immense dominant part of their information from centralized server. Put essentially, centralized computer information can't be overlooked, yet the time has come to begin offloading that information onto a  Big  Data examination platform. Indeed, on the off chance that you haven't done as such officially, then it's apparently unavoidable that you will one day get yourself – simply like various other centralized computer experts – starting the way toward offloading your centralized server cluster to a structure like Hadoop. You will, most likely, as of now know about this squeezing, advanced purpose – however would you say you are prepared to make such a seismic move? Do you have a major information system set up, and what aptitudes will you require? In any case, maybe the primary question you ought to ask yourself is – is it the cor...

Three Things You Must Do IF You’re Considering A Career In Data Analytics

Have you ever been curious about how a few numbers and a couple of stastistical skills, can lead to great results and explosive revenue for a company? Does the whole process of targeted analytics and hard-core predictive analytics seem extremely fascinating to you? You don’t necessarily have to belong to an IT background to make a  career in the field of data science . All you need to do is gain an in-depth understanding of how this field works, including all the various types of nitty-gritties, like the various data analytics software tools, as well as understand a few basic concepts of maths and statistics. So if you are one of those data enthusiasts or you are just looking for a career change, here’s a list of three things, which you must look into before deciding to take the plunge. Understanding where your strengths and weaknesses lie, especially when it comes to narrowing down on a career, it becomes very important for you to self asses yourself. Research all the qualities...

Big Data Analytics- The Basics

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The past decade has seen some phenomenal changes in terms of how the world works. One of these was when the field of technology went into a whirlwind of developments. In the recent times, with digitalization on the rise and the social media becoming an essential aspect of everyone’s life a new discovery was made. This was the discovery of Big Data , which in most simple terms can be defined as the scores of all kinds of records of people which were so vast in number that it would be impossible to store it all in any traditional storage system. Now rose the question as to where was this data being generated from? This data was generated from various places like the media, for instances movies, T.V shows, the social media and the day to day choices of people and so on. Did you know that every flight that took off led to the generation of around 4 terra bytes of data? And the storage of the same required about 4 laptops with the 1 terra byte of inbuilt storage! With the real...